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More power, greater flexibility for AI at the edge in transport use and smart cities - IoT Now Transport

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AAEON, a specialist in artificial intelligence (AI) edge solutions, has released the BOXER-8251AI AI edge box PC, powered by NVIDIA Jetson Xavier NX. The BOXER-8251AI is said to offer greater performance and is more compact. The device is powered by the Jetson Xavier NX from NVIDIA. Featuring a six-core 64-bit ARM processor, it boasts 384 CUDA cores, 48 Tensor Cores, and two NVDLA engines capable of running multiple neural networks in parallel, delivering accelerated computing performance up to 21 TOPS. Built to bring dedicated AI processing to the edge, the system also features 8GB of LPDDR4 memory and 16GB of onboard eMMC memory that's expandable through the Micro-SD card slot.


Top 10 Processor to Watch in 2020 - Analytics Insight

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The Internet of Things (IoT) has sparked the proliferation of connected devices. These devices, which house sensors to collect data of the day-to-day activities or monitoring purposes, are embedded with microcontrollers and microprocessors chips. These chips are mounted based on the data sensor needed to complete an assigned task. So we don't have a one processor fits all architecture. For example, some devices will perform a limited amount of processing on data sets such as temperature, humidity, pressure, or gravity; more complicated systems, however, will need to handle (multiple) high-resolution sound or video streams.


can-newsletter.org - HMIs

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Axiomtek has released the AIE500-901-FL, an advanced artificial intelligence (AI) embedded system for edge AI computing and deep learning applications. The device supports two CAN or two COM interfaces. The embedded system employs an Nvidia Jetson TX2 module which has a 64-bit ARM A57 processor; Nvidia Pascal GPU with 256 CUDA cores; and 8 GiB of 128-bit LPDDR4 memory. To withstand the rigors of day-to-day operation, the product has an operating temperature range of -30 C to 60 C and vibration of up to 3 Grms with its construction. According to the company, this fanless AI edge system is dedicated to achieving smart manufacturing and intelligent edge applications.


Edge Video Analysis (EVA) for Autonomous Machines with Computer Vision

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The number of robots used in industrial applications continues to grow and their capabilities continue to evolve. The first stationary industrial robot, the Unimate, was installed in a factory by General Motors in 1961. According to the International Federation of Robotics (IFR), the World Robotics report released on Jan. 20, shows that more than 2.4 million industrial robots are currently operating in factories around the world. And this number is expected to grow dramatically in the coming years. Following the rapid adoption of stationary robots, the next development was the deployment of mobile robots in the form of automatic guided vehicles (AGVs).


Rugged edge node has processing performance for smart cities -- Softei.com

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A rugged outdoor edge node from Aaeon, Atlas, is built to provide cities with flexible solutions for AI and edge computing. It has the Intel Movidius Myriad X for real-time processing for a range of smart city applications. It is based on the compact Aaeon NanoCOM-APL board, featuring the Intel Atom x7, providing efficient computing with low power consumption. It is designed with an IP66-rated fanless chassis, for installation on any streetlight, making it easy to quickly set up and deploy, says the company. Connectivity is via Wi-Fi, Gigabit Ethernet, or even 4G/LTE for flexible communication within an edge network or with a central cloud server.